Smart - Aodv Routing Protocol in Vehicular Ad-Hoc Networks Environments

Keshavarz, Hassan

ISBN 10: 3659312495 / ISBN 13: 9783659312496

Editore: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG, 2013

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Codice articolo 18128865189

Dati bibliografici

• Titolo: Smart - Aodv Routing Protocol in Vehicular Ad-Hoc Networks Environments
• Editore: VDM Verlag Dr. Mueller Aktiengesellschaft & Co. KG
• Data di pubblicazione: 2013
• Lingua: Inglese
• ISBN 10: 3659312495
• ISBN 13: 9783659312496
• Rilegatura: Brossura
• Condizione: New

Descrizione articolo

Riassunto

This study improves the neighbor discovery in VANETs and in doing so decreases the network overhead and increases performance AODV routing protocol. Since AODV is a part of reactive routing protocols, if a request is sent from the source, a link would be created to the destination.The neighbor discovery is created through HELLO message. The HELLO message is broadcasted to all nodes at a specific time and this happens through the use hello timer and is calculated by Hello _interval default value, Min Hello_ Interval and Max Hello_Interval multiplied random number. This STUDY aims at sending HELLO message and through considering the various conditions of the nodes (such as Up, Down and In_Repair), place the unsaved information in the routing table. This condition is not considered for the In repair mode because a node might be in repair mode in the ti but may not be in this mode at the ti+1. It might be arranged according to the up mode and this can cause a freshness and closer path. In order to solve this problem, a function was introduced which checks all node continually. If they are in an Up or In_Repair mode, the HELLO message packet is sent and ACK is received.

L'autore

Received his B.Sc. in Computer Engineering and Software Discipline from Islamic Azad University, Iran, in 2007; M.Sc. from University of Malaya in Computer Science-Networking, in 2013. His research interests include mobile agent, wireless sensor networks, wireless mesh networks. His current research area is data mining, web mining.